Market Prediction

Investment firms, hedge funds and even individuals have been using financial models to better understand market behavior and make profitable investments and trades. A wealth of information is available in the form of historical stock prices and company performance data, suitable for machine learning algorithms to process.

For this project, your task our task is to build a stock price predictor that takes daily trading data over a certain date range as input, and outputs projected estimates for given query dates.

Table of Contents

Data Preparation

Build an LSTM model

Build a GRU model

References